计算机应用与软件2017，Vol.34Issue(1)：110-116,7.DOI:10.3969/j.issn.1000-386x.2017.01.020
基于Wright-Fisher过程的WSNs节点信任随机演化策略
STOCHASTIC EVOLUTIONARY TRUST STRATEGY OF WSNS NODES BASED ON WRIGHT-FISHER PROCESS
摘要
Abstract
To solve the problem of trust decisions among WSNs nodes which affects the cooperation between nodes, considering limited numbers of nodes and individual stochastic effect, a stochastic evolutionary trust strategy of WSNs nodes based on Wright-Fisher process is proposed, and a punishment mechanism related to the trust level of nodes is also introduced.The strategy remedied the defect that replicator dynamics was inapplicable to the WSNs due to the limited numbers of nodes.Theorems of arriving at the evolutionary stable state were deduced and proved through the analysis of stochastic dynamics.Experiments verified the conclusions and analyzed the impacts of punishment levels and selection intensities.关键词
无线传感器网络/信任/Wright-Fisher过程/随机演化博弈/惩罚机制Key words
Wireless sensor networks(WSNs)/Trust/Wright-Fisher process/Stochastic evolutionary game/Punishment mechanism分类
信息技术与安全科学引用本文复制引用
王丁,曹奇英,许洪云,沈士根..基于Wright-Fisher过程的WSNs节点信任随机演化策略[J].计算机应用与软件,2017,34(1):110-116,7.基金项目
国家自然科学基金项目(61272034). （61272034）
